Sentence examples for accurately trained from inspiring English sources

The phrase "accurately trained" is correct and usable in written English.
It can be used when referring to someone or something that has been trained in a precise or effective manner, often in the context of skills or knowledge acquisition.
Example: "The machine learning model was accurately trained to recognize patterns in the data, resulting in improved predictions."
Alternatives: "properly trained" or "effectively trained".

Exact(1)

Ultrasonography is highly operator-dependent, so it is crucial that the sonographer is accurately trained in order to be able to implement the diagnostic capabilities of ultrasonography [15].

Similar(59)

Otherwise, the labeled Hong Kong University of Science and Technology HKUST Mandarin Telephone Speechch Part 1 [26] is used to accurately train an acoustic model for another Mandarin phone recognizer.

There is no specific criterion about the number of samples (events) required to accurately train the system, even overtraining can also result in poor classification accuracy.

The total length of the preliminary contig set (923817 bp) was too short to accurately train the ab inito gene predictors specifically for the P. taeda genome.

They then used the remaining 20percentt of the data to test how accurately the trained network could spot each individual filmmaker, while comparing the technique with other machine learning approaches.

In contrast, the intervals of a melody were sung more accurately by trained singers than by untrained singers.

In order to get their AI algorithms to classify cars accurately, the researchers trained it by recruiting hundreds of people from places like Mechanical Turk, as well as car experts, to identify vehicles in a sample of millions of pictures.

In addition, it is difficult for a classifier to be trained accurately.

It is also clear from the Fig. 16 that with the increasing epoch the network is trained more accurately and subsequently more accurate and perfect output is achieved.

However, ATs are experienced professionals trained to accurately detect injury.

If algorithms are trained to accurately and precisely figure out a hurricane's intensity using seismic data alone, then a huge information gap could be filled.

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